cs.AI（2024-04-29）

📊 共 14 篇论文 | 🔗 1 篇有代码

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支柱九：具身大模型 (Embodied Foundation Models) (9 🔗1) 支柱二：RL算法与架构 (RL & Architecture) (5)

🔬 支柱九：具身大模型 (Embodied Foundation Models) (9 篇)

#题目一句话要点标签🔗⭐
1 ECC Analyzer: Extract Trading Signal from Earnings Conference Calls using Large Language Model for Stock Performance Prediction 提出ECC Analyzer以解决从财报电话会议中提取交易信号的问题 large language model multimodal
2 Large Language Models as Conversational Movie Recommenders: A User Study 利用大型语言模型提升个性化电影推荐的用户体验 large language model
3 LangBiTe: A Platform for Testing Bias in Large Language Models 提出LangBiTe以系统评估大型语言模型中的偏见问题 large language model
4 How secure is AI-generated Code: A Large-Scale Comparison of Large Language Models 比较大型语言模型生成代码的安全性，揭示潜在漏洞 large language model
5 HELPER-X: A Unified Instructable Embodied Agent to Tackle Four Interactive Vision-Language Domains with Memory-Augmented Language Models 提出HELPER-X以解决多模态交互任务的挑战 large language model instruction following
6 HLSTransform: Energy-Efficient Llama 2 Inference on FPGAs Via High Level Synthesis 提出HLSTransform以实现FPGA上Llama 2的高效推理 large language model ✅
7 PECC: Problem Extraction and Coding Challenges 提出PECC基准以解决LLM在问题理解与代码生成中的挑战 large language model
8 Evaluating Readability and Faithfulness of Concept-based Explanations 提出统一框架以评估概念基础解释的可读性与可信度 large language model
9 From ChatGPT, DALL-E 3 to Sora: How has Generative AI Changed Digital Humanities Research and Services? 探讨大规模语言模型在数字人文学科研究中的应用与挑战 multimodal

🔬 支柱二：RL算法与架构 (RL & Architecture) (5 篇)

#题目一句话要点标签🔗⭐
10 Reinforcement Learning Problem Solving with Large Language Models 利用大语言模型解决强化学习问题的创新方法 reinforcement learning large language model
11 Protein Representation Learning by Capturing Protein Sequence-Structure-Function Relationship 提出AMMA模型以解决蛋白质表示学习中的多模态关系问题 representation learning masked autoencoder
12 Performance-Aligned LLMs for Generating Fast Code 提出基于强化学习的LLM以优化代码性能 reinforcement learning large language model
13 Self-training superconducting neuromorphic circuits using reinforcement learning rules 提出基于强化学习的超导神经形态电路自训练方法 reinforcement learning
14 Artificial General Intelligence (AGI)-Native Wireless Systems: A Journey Beyond 6G 提出AGI原生无线系统以解决传统技术的局限性 world model world models

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